Document Detail

Prediction of body weight from body measurements in grass cutters.
MedLine Citation:
PMID:  23378175     Owner:  NLM     Status:  Publisher    
In order to predict the body weight of grass cutters from linear body measurements, the weights and measurements of 50 intensively managed female grass cutters aged 5 months were fitted into linear, quadratic and cubic regression models. Highly significant (p < 0.01) R (2) values ranging from 74 to 98 % were obtained indicating that all body measurements were good predictors of body weight. Although quadratic and cubic models gave slightly higher R (2) values than linear models, it is recommended that farmers should use a simple linear equation based on tail length or heart girth to predict the body weight of their grass cutters. The recommended equations are (weight in kg) = 0.47 + 0.08 (tail length in cm) and (weight in kg) = 0.32 + 0.07 (heart girth in cm).
Ifeanyichukwu Udeh; Ben-Collins Obiora Okonta
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-2
Journal Detail:
Title:  Tropical animal health and production     Volume:  -     ISSN:  1573-7438     ISO Abbreviation:  Trop Anim Health Prod     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1277355     Medline TA:  Trop Anim Health Prod     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Animal Science, Delta State University, Asaba Campus, Asaba, Nigeria,
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